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Influence of connected and autonomous vehicles on traffic flow stability and throughput

Transportation research. Part C, Emerging technologies, 2016-10, Vol.71, p.143-163

2016

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Dynamic autonomous vehicle fleet operations: Optimization-based strategies to assign AVs to immediate traveler demand requests

Transportation research. Part C, Emerging technologies, 2018-07, Vol.92, p.278-297

2018

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Dynamic origin-destination demand estimation using automatic vehicle identification data

IEEE transactions on intelligent transportation systems, 2006-03, Vol.7 (1), p.105-114

2006

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Operational benefits and challenges of shared-ride automated mobility-on-demand services

Transportation research. Part A, Policy and practice, 2020-04, Vol.134, p.251-270

2020

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Flexing service schedules: Assessing the potential for demand-adaptive hybrid transit via a stated preference approach

Transportation research. Part C, Emerging technologies, 2017-03, Vol.76, p.71-89

2017

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Modeling lane-changing behavior in a connected environment: A game theory approach

Transportation research. Part C, Emerging technologies, 2015-10, Vol.59, p.216-232

2015

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Investigating the Effects of Reserved Lanes for Autonomous Vehicles on Congestion and Travel Time Reliability

Transportation research record, 2017, Vol.2622 (1), p.1-12

2017

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Autonomous Vehicles and Connected Vehicle Systems: Flow and Operations Considerations

Transportation science, 2016-11, Vol.50 (4), p.1140-1162

Mahmassani, Hani S.

2016

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Modeling Driver Behavior as Sequential Risk-Taking Task

Transportation research record, 2008-01, Vol.2088 (1), p.208-217

2008

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From behavioral psychology to acceleration modeling: Calibration, validation, and exploration of drivers’ cognitive and safety parameters in a risk-taking environment

Transportation research. Part B: methodological, 2015-08, Vol.78, p.32-53

2015

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Taxonomy of Shared Autonomous Vehicle Fleet Management Problems to Inform Future Transportation Mobility

Transportation research record, 2017, Vol.2653 (1), p.26-34

2017

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The Intelligent Driver Model with Stochasticity -New Insights Into Traffic Flow Oscillations

Transportation research procedia (Online), 2017, Vol.23, p.174-187

2017

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Spatial and temporal characterization of travel patterns in a traffic network using vehicle trajectories

Transportation research. Part C, Emerging technologies, 2015-10, Vol.59, p.375-390

2015

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Joint design of multimodal transit networks and shared autonomous mobility fleets

Transportation research. Part C, Emerging technologies, 2020-04, Vol.113, p.2-20

2020

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Making time count: Traveler activity engagement on urban transit

Transportation research. Part A, Policy and practice, 2015-06, Vol.76, p.58-70

2015

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Surge Pricing and Labor Supply in the Ride-Sourcing Market

Transportation research procedia (Online), 2017, Vol.23, p.2-21

2017

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Aggressiveness propensity index for driving behavior at signalized intersections

Accident analysis and prevention, 2008, Vol.40 (1), p.315-326

2008

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Compound Gamma representation for modeling travel time variability in a traffic network

Transportation research. Part B: methodological, 2015-10, Vol.80, p.40-63

2015

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Reinforcement learning framework for freight demand forecasting to support operational planning decisions

Transportation research. Part E, Logistics and transportation review, 2020-05, Vol.137, p.101926, Article 101926

2020

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Machine Learning Approach to Short-Term Traffic Congestion Prediction in a Connected Environment

Transportation research record, 2018-12, Vol.2672 (45), p.185-195

2018

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Commuter ride-sharing using topology-based vehicle trajectory clustering: Methodology, application and impact evaluation

Transportation research. Part C, Emerging technologies, 2017-12, Vol.85, p.573-590

2017

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Regulating mobility-on-demand services: Tri-level model and Bayesian optimization solution approach

Transportation research. Part C, Emerging technologies, 2021-04, Vol.125, p.103075, Article 103075

2021

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Estimating network travel time reliability with network partitioning

Transportation research. Part C, Emerging technologies, 2020-03, Vol.112, p.46-61

2020

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Dynamic clustering and propagation of congestion in heterogeneously congested urban traffic networks

Transportation research procedia (Online), 2017, Vol.23, p.962-979

2017

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A capacity maximization scheme for intersection management with automated vehicles

Transportation research procedia (Online), 2017, Vol.23, p.121-136

2017

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Influence of connected and autonomous vehicles on traffic flow stability and throughput

Dynamic autonomous vehicle fleet operations: Optimization-based strategies to assign AVs to immediate traveler demand requests

Dynamic origin-destination demand estimation using automatic vehicle identification data

Operational benefits and challenges of shared-ride automated mobility-on-demand services

Flexing service schedules: Assessing the potential for demand-adaptive hybrid transit via a stated preference approach

Modeling lane-changing behavior in a connected environment: A game theory approach

Investigating the Effects of Reserved Lanes for Autonomous Vehicles on Congestion and Travel Time Reliability

Autonomous Vehicles and Connected Vehicle Systems: Flow and Operations Considerations

Modeling Driver Behavior as Sequential Risk-Taking Task

From behavioral psychology to acceleration modeling: Calibration, validation, and exploration of drivers’ cognitive and safety parameters in a risk-taking environment

Taxonomy of Shared Autonomous Vehicle Fleet Management Problems to Inform Future Transportation Mobility

The Intelligent Driver Model with Stochasticity -New Insights Into Traffic Flow Oscillations

Spatial and temporal characterization of travel patterns in a traffic network using vehicle trajectories

Joint design of multimodal transit networks and shared autonomous mobility fleets

Making time count: Traveler activity engagement on urban transit

Surge Pricing and Labor Supply in the Ride-Sourcing Market

Aggressiveness propensity index for driving behavior at signalized intersections

Compound Gamma representation for modeling travel time variability in a traffic network

Reinforcement learning framework for freight demand forecasting to support operational planning decisions

Machine Learning Approach to Short-Term Traffic Congestion Prediction in a Connected Environment

Commuter ride-sharing using topology-based vehicle trajectory clustering: Methodology, application and impact evaluation

Regulating mobility-on-demand services: Tri-level model and Bayesian optimization solution approach

Estimating network travel time reliability with network partitioning

Dynamic clustering and propagation of congestion in heterogeneously congested urban traffic networks

A capacity maximization scheme for intersection management with automated vehicles

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